Predicting 30-Day Risk of Hospitalization, Emergency Department Visit and Death Among Albertans Receiving Opioid Prescriptions Using Machine Learning Algorithms: A Prognostic Study

Prescribers rely on guidelines for appropriate use and prescribing of opioids. Currently, there are no risk prediction calculators available to quantify the risk of prescribing an opioid that uses a patient’s history and drug utilization pattern. Machine learning algorithms offer an opportunity to perhaps develop such a risk calculator as a result of the large […]

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Production of animal feed using Methylophilus methylotrophus

This project aims to identify an efficient fermentation strategy that will enable Cvictus to generate a protein-rich animal feed using methanol as the nutrient source. The key advantage of the production platform proposed by Cvictus is the use of a proprietary technology that can convert coal to methanol with ultra-low CO2 emissions. Initial research in […]

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Stability and antioxidant properties of pharmaceutical and nutraceutical products

Nutraceuticals are being used ubiquitously, but seldom undergo rigorous testing. This study is focused on two primary aspects of studying natural health products, specific cannabis and its oils. The first objective is to determine the shelf life (product stability) by performing a series of tests to accelerate the ageing process in order to provide an […]

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Mine Revegetation in the Yukon

The mining industry is one of the leading sectors of the Yukon economy. Mining companies are committed to restoring the land affected by mining activities to meet closure plan requirements. Revegetation of impacted sites is a challenge all mining companies face in sub-arctic regions because: 1- Lack of knowledge regarding which plants to use for […]

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Real-Estate Valuation with Heterogeneous Geospatial Information

The proposed project investigates the extraction of geo-location information from online map services to augment the available attributes of real-estate properties, thereby enhancing model valuation of property sales price. Specifically, five distinct and concurrent objectives are proposed, each undertaken by a separate intern, to explore the feasibility of utilizing different data types retrieved from online […]

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Statistical machine learning for urban transportation system

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

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Improving Resource Estimation with Machine Learning

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

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Apelin Analog Therapy as an Innovative Treatment for Cardiovascular Diseases

Apelin, an innate peptide, is a critical component of the apelin pathway, which is responsible for regulatory mechanisms of the cardiovascular system. Apelin is downregulated in patients with cardiovascular disease, therefore limiting the cardioprotective potential of the pathway. This project focuses on the optimization of a biological analog, able to withstand enzyme degradation with improved […]

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Dynamics of T-cell recruitment and polarization in inflammatory skin diseases

Psoriasis is an auto-immune disease in which the T-cells (type of blood cells involved in fighting infection) mistakenly attacks the cells within the body leading to formation read scaly patches or plaques on the skin. Plaque Psoriasis that occurs in 80-90% of the patients is associated with anxiety and depression that negatively affects patients social […]

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Development of Technologies and Methods for Metabolite collection and processing

Metabolomics is an emerging field of research that provides insight into health and disease by studying the levels of various small molecules (metabolites) in the body. In this project, we are developing new tools that will improve and standardize methods for collecting and stabilizing fecal samples for metabolomics studies based on the analysis of fecal […]

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Exploring the economic impacts of Human-Centered Design in the context of a non profit organization

This exploratory research will seek to answer the primary question generally asked by many industry professionals- “how to evaluate the economic assessment of projects (using Human Centered Design (HCD) philosophy)”. This research will explore how to create an ROI/cost benefit analysis tool to measure economic impacts of the specific type of projects. This report will […]

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